






"""simple docstring"""


from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


__SCREAMING_SNAKE_CASE   =   logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE   =   TypeVar('DatasetType', Dataset, IterableDataset)


def        UpperCAmelCase      (					a__     ,      a__ = None     ,      a__ = None     ,      a__ = None     ,      a__ = None     ,      a__ = "first_exhausted"     ,      ):





						'''simple docstring'''






						from .arrow_dataset import Dataset
						from .iterable_dataset import IterableDataset

						if not datasets:
												raise ValueError('Unable to interleave an empty list of datasets.' )
						for i, dataset in enumerate(a__ ):
												if not isinstance(a__     ,      (Dataset, IterableDataset) ):
																		if isinstance(a__     ,      (DatasetDict, IterableDatasetDict) ):
																								if not dataset:
																														raise ValueError(
																														    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} """
																														    'is an empty dataset dictionary.' )
																								raise ValueError(
																								    F"""Dataset at position {i} has at least one split: {list(a__ )}\n"""
																								    F"""Please pick one to interleave with the other datasets, for example: dataset['{next(iter(a__ ) )}']""" )
																		raise ValueError(
																		    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(a__ ).__name__}.""" )
												if i == 0:
																		lowerCAmelCase	, lowerCAmelCase   :List[Any]						=			(
																		    (Dataset, IterableDataset) if isinstance(a__     ,      a__ ) else (IterableDataset, Dataset)
																		)
												elif not isinstance(a__     ,      a__ ):
																		raise ValueError(
																		    F"""Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.""" )
						if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
												raise ValueError(F"""{stopping_strategy} is not supported. Please enter a valid stopping_strategy.""" )
						if dataset_type is Dataset:
												return _interleave_map_style_datasets(
												    a__     ,      a__     ,      a__     ,      info=a__     ,      split=a__     ,      stopping_strategy=a__ )
						else:
												return _interleave_iterable_datasets(
												    a__     ,      a__     ,      a__     ,      info=a__     ,      split=a__     ,      stopping_strategy=a__ )







def        UpperCAmelCase      (					a__     ,      a__ = None     ,      a__ = None     ,      a__ = 0     ,      ):





						'''simple docstring'''






						if not dsets:
												raise ValueError('Unable to concatenate an empty list of datasets.' )
						for i, dataset in enumerate(a__ ):
												if not isinstance(a__     ,      (Dataset, IterableDataset) ):
																		if isinstance(a__     ,      (DatasetDict, IterableDatasetDict) ):
																								if not dataset:
																														raise ValueError(
																														    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} """
																														    'is an empty dataset dictionary.' )
																								raise ValueError(
																								    F"""Dataset at position {i} has at least one split: {list(a__ )}\n"""
																								    F"""Please pick one to interleave with the other datasets, for example: dataset['{next(iter(a__ ) )}']""" )
																		raise ValueError(
																		    F"""Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(a__ ).__name__}.""" )
												if i == 0:
																		lowerCAmelCase	, lowerCAmelCase   :Dict						=			(
																		    (Dataset, IterableDataset) if isinstance(a__     ,      a__ ) else (IterableDataset, Dataset)
																		)
												elif not isinstance(a__     ,      a__ ):
																		raise ValueError(
																		    F"""Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.""" )
						if dataset_type is Dataset:
												return _concatenate_map_style_datasets(a__     ,      info=a__     ,      split=a__     ,      axis=a__ )
						else:
												return _concatenate_iterable_datasets(a__     ,      info=a__     ,      split=a__     ,      axis=a__ )







"""simple docstring"""


from __future__ import annotations

from collections import namedtuple
from dataclasses import dataclass




@dataclass
class 						__UpperCamelCase     :
					lowercase_    :				int
					lowercase_    :				TreeNode | None      =  None
					lowercase_    :				TreeNode | None      =  None


__SCREAMING_SNAKE_CASE   =   namedtuple('CoinsDistribResult', 'moves excess')


def        UpperCAmelCase      (					a__ ):





						'''simple docstring'''






						if root is None:
												return 0

						# Validation
						def count_nodes(a__ ) -> int:
												if node is None:
																		return 0

												return count_nodes(node.left ) + count_nodes(node.right ) + 1

						def count_coins(a__ ) -> int:
												if node is None:
																		return 0

												return count_coins(node.left ) + count_coins(node.right ) + node.data

						if count_nodes(a__ ) != count_coins(a__ ):
												raise ValueError('The nodes number should be same as the number of coins' )

						# Main calculation
						def get_distrib(a__ ) -> CoinsDistribResult:

												if node is None:
																		return CoinsDistribResult(0     ,      1 )

												lowerCAmelCase	, lowerCAmelCase   :Optional[int]						=			get_distrib(node.left )
												lowerCAmelCase	, lowerCAmelCase   :str						=			get_distrib(node.right )

												lowerCAmelCase   :str						=			1 - left_distrib_excess
												lowerCAmelCase   :Optional[Any]						=			1 - right_distrib_excess

												lowerCAmelCase   :Any						=			(
												    left_distrib_moves
												    + right_distrib_moves
												    + abs(a__ )
												    + abs(a__ )
												)
												lowerCAmelCase   :Tuple						=			node.data - coins_to_left - coins_to_right

												return CoinsDistribResult(a__     ,      a__ )

						return get_distrib(a__ )[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()